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The Text In The Machine
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Book Synopsis The Machine Stops. Illustrated by : E.M. Forster
Download or read book The Machine Stops. Illustrated written by E.M. Forster and published by Strelbytskyy Multimedia Publishing. This book was released on 2023-12-08 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Machine Stops" by E.M. Forster, now presented in a beautifully illustrated edition, is a visionary and thought-provoking novella that explores the perils of technological dependency and the potential consequences of a society overly reliant on machines. Set in a future where humanity lives underground, isolated in individual cells, their every need attended to by an all-encompassing Machine, the story follows Vashti, a lecturer and true believer in the Machine's omnipotence. However, as the Machine begins to show signs of malfunction, Vashti's worldview is challenged, leading to a series of events that question the very foundations of her society. "The Machine Stops" remains a compelling exploration of the dangers of sacrificing human connections for the convenience of technology. This illustrated edition provides a fresh perspective on Forster's timeless work, making it an engaging and visually captivating experience for both new and returning readers.
Book Synopsis The Text in the Machine by : Toby Burrows
Download or read book The Text in the Machine written by Toby Burrows and published by CRC Press. This book was released on 1999-04-09 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive guide to explore the growing field of electronic information, The Text in the Machine: Electronic Texts in the Humanities will help you create and use electronic texts. This book explains the processes involved in developing computerized books on library Web sites, CD-ROMs, or your own Web site. With the information provided by The Text in the Machine, you?ll be able to successfully transfer written words to a digitized form and increase access to any kind of information. Keeping the perspectives of scholars, students, librarians, users, and publishers in mind, this book outlines the necessary steps for electronic conversion in a comprehensive manner. The Text in the Machine addresses many variables that need to be taken into consideration to help you digitize texts, such as: defining types of markup, markup systems, and their uses identifying characteristics of the written text, such as its linguistic and physical nature, before choosing a markup scheme ensuring accuracy in electronic texts by keying in information up to three times and choosing software that is compatible with the markup systems you are using examining the best file formats for scanning written texts and converting them to digital form explaining the delivery systems available for electronic texts, such as CD-ROMs, the Internet, magnetic tape, and the variety of software that will interpret these interfaces designing the structure of electronic texts with linear presentation, segmented text, or image files to increase readability and accessibility Containing lists of suggested readings and examples of electronic text Web sites, this book provides you with the opportunity to see how other libraries and scholars are creating and publishing digital texts. From The Text in the Machine, you?ll receive the knowledge to make this medium of information accessible and beneficial to patrons and scholars around the world.
Book Synopsis Supervised Machine Learning for Text Analysis in R by : Emil Hvitfeldt
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Book Synopsis Tell the Machine Goodnight by : Katie Williams
Download or read book Tell the Machine Goodnight written by Katie Williams and published by Penguin. This book was released on 2019-06-18 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: FINALIST FOR 2018 KIRKUS PRIZE NAMED ONE OF THE "BEST LITERARY FICTION OF 2018' BY KIRKUS REVIEWS "Sci-fi in its most perfect expression…Reading it is like having a lucid dream of six years from next week, filled with people you don't know, but will." —NPR "[Williams’s] wit is sharp, but her touch is light, and her novel is a winner." – San Francisco Chronicle "Between seasons of Black Mirror, look to Katie Williams' debut novel." —Refinery29 Smart and inventive, a page-turner that considers the elusive definition of happiness. Pearl's job is to make people happy. As a technician for the Apricity Corporation, with its patented happiness machine, she provides customers with personalized recommendations for greater contentment. She's good at her job, her office manager tells her, successful. But how does one measure an emotion? Meanwhile, there's Pearl's teenage son, Rhett. A sensitive kid who has forged an unconventional path through adolescence, Rhett seems to find greater satisfaction in being unhappy. The very rejection of joy is his own kind of "pursuit of happiness." As his mother, Pearl wants nothing more than to help Rhett--but is it for his sake or for hers? Certainly it would make Pearl happier. Regardless, her son is one person whose emotional life does not fall under the parameters of her job--not as happiness technician, and not as mother, either. Told from an alternating cast of endearing characters from within Pearl and Rhett's world, Tell the Machine Goodnight delivers a smartly moving and entertaining story about the advance of technology and the ways that it can most surprise and define us. Along the way, Katie Williams playfully illuminates our national obsession with positive psychology, our reliance on quick fixes. What happens when these obsessions begin to overlap? With warmth, humor, and a clever touch, Williams taps into our collective unease about the modern world and allows us see it a little more clearly.
Book Synopsis Machine Learning for Text by : Charu C. Aggarwal
Download or read book Machine Learning for Text written by Charu C. Aggarwal and published by Springer. This book was released on 2023-05-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
Download or read book Inside the Machine written by Jon Stokes and published by No Starch Press. This book was released on 2007 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Om hvordan mikroprocessorer fungerer, med undersøgelse af de nyeste mikroprocessorer fra Intel, IBM og Motorola.
Book Synopsis The Perpetual Motion Machine by : Brittany Ackerman
Download or read book The Perpetual Motion Machine written by Brittany Ackerman and published by . This book was released on 2018 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by a brother's high school science project--a perpetual motion machine that could save the world-- The Perpetual Motion Machine is a memoir in essays that attempts to save a sibling by depicting the visceral pain that accompanies longing for some past impossibility. The collection has been a science project in its study of memory, in the calculation and plotting of the moments that make up a childhood. The preparation has been "in the field" in that it is built upon the gathering of lived experience; the evidence is photo albums, family interviews, and anecdotes from friends. The project has been one giant experiment--to see if they can all make it out alive.
Book Synopsis Women and the Machine by : Julie Wosk
Download or read book Women and the Machine written by Julie Wosk and published by Johns Hopkins University Press+ORM. This book was released on 2003-04-01 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: “An engaging study of the ways women and machines have been represented in art, photography, advertising, and literature.” —Arwen Palmer Mohun, University of Delaware From sexist jokes about women drivers to such empowering icons as Amelia Earhart and Rosie the Riveter, representations of the relationship between women and modern technology in popular culture have been both demeaning and celebratory. Depictions of women as timid and fearful creatures baffled by machinery have alternated with images of them as being fully capable of technological mastery and control—and of lending sex appeal to machines as products. In Women and the Machine, historian Julie Wosk maps the contradictory ways in which women’s interactions with—and understanding of—machinery has been defined in Western popular culture since the dawn of the Industrial Revolution. Drawing on both visual and literary sources, Wosk illuminates popular gender stereotypes that have burdened women throughout modern history while underscoring their advances in what was long considered the domain of men. Illustrated with more than 150 images, Women and the Machine reveals women rejoicing in their new liberties and technical skill even as they confront society’s ambivalence about these developments, along with male fantasies and fears. “Engaging and entertaining . . . Using illustrations, cartoons and photographs from the past three centuries, Wosk delineates shifts in social acceptance of women’s relationship to technology . . . her work is complex, comprehensive and highly readable.” —Publishers Weekly “Art historian Wosk analyzes the overt and covert messages in depictions of women and machines in an array of fiction and, more impressively, in some 150 visual images.” —Booklist
Book Synopsis The Eternal Moment by : Edward Morgan Forster
Download or read book The Eternal Moment written by Edward Morgan Forster and published by New York : Harcourt, Brace c1928.. This book was released on 1928 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of stories written between about 1903 and 1914. Many of these stories deal with science fiction or supernatural themes.
Book Synopsis The Soft Machine by : William S. Burroughs
Download or read book The Soft Machine written by William S. Burroughs and published by Grove/Atlantic, Inc.. This book was released on 2011-02-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Naked Lunch, William S. Burroughs revealed his genius. In The Soft Machine he begins an adventure that will take us even further into the dark recesses of his imagination, a region where nothing is sacred, nothing taboo. Continuing his ferocious verbal assault on hatred, hype, poverty, war, bureaucracy, and addiction in all its forms, Burroughs gives us a surreal space odyssey through the wounded galaxies in a book only he could create.
Book Synopsis Text Mining with Machine Learning by : Jan Žižka
Download or read book Text Mining with Machine Learning written by Jan Žižka and published by CRC Press. This book was released on 2019-10-31 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.
Download or read book Against the Machine written by Nicols Fox and published by Island Press. This book was released on 2013-04-15 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Against the Machine is timely, compelling, and important. Its intellectual sweep extends from the transcendental to the transistor, covering much unfamiliar ground and reviving a long-neglected tradition of dissent." -ERIC SCHLOSSER, AUTHOR OF FAST FOOD NATION "Against the Machine is luminous, lyrical, impassioned, profound. I had to put the book down every few paragraphs and breathe in relief." -CHELLIS GLENDINNING, ORION "[Fox] carefully and convincingly makes her case that there have always been reasonable, indeed often brilliant, people who were not at all sure that technology was solving more problems than it created." -HARPER'S MAGAZINE From the cars we drive to the instant messages we receive, from debate about genetically modified foods to astonishing strides in cloning, robotics, and nanotechnology, it would be hard to deny technology's powerful grip on our lives. To stop and ask whether this digitized, implanted reality is quite what we had in mind when we opted for progress, or to ask if we might not be creating more problems than we solve, is likely to peg us as hopelessly backward or suspiciously eccentric. Yet not only questioning, but challenging technology turns out to have a long and noble history.In this timely and incisive work, Nicols Fox examines contemporary resistance to technology and places it in a surprising historical context. She brilliantly illuminates the rich but oftentimes unrecognized literary and philosophical tradition that has existed for nearly two centuries, since the first Luddites--the ""machine breaking"" followers of the mythical Ned Ludd--lifted their sledgehammers in protest against the Industrial Revolution. Tracing that current of thought through some of the great minds of the 19th and 20th centuries--William Blake, Mary Shelley, Charles Dickens, John Ruskin, William Morris, Henry David Thoreau, Ralph Waldo Emerson, Robert Graves, Aldo Leopold, Rachel Carson, and many others--Fox demonstrates that modern protests against consumptive lifestyles and misgivings about the relentless march of mechanization are part of a fascinating hidden history. She shows as well that the Luddite tradition can yield important insights into how we might reshape both technology and modern life so that human, community, and environmental values take precedence over the demands of the machine.In Against the Machine, Nicols Fox writes with compelling immediacy--bringing a new dimension and depth to the debate over what technology means, both now and for our future.
Book Synopsis The Time Machine illustrated by : H. G. Wells
Download or read book The Time Machine illustrated written by H. G. Wells and published by BoD - Books on Demand. This book was released on 2022-06-22 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Time Machine by H. G. Wells is a science fiction classic, which lends itself well to visualization. This version, illustrated by Yoann Laurent-Rouault, an illustrator master who graduated from the Beaux-Arts, and published in the international literary collection Memoria Books, is a reference on the time travel theme. Wells transports us in the year 802 701, in a society made up of the “Elois”, who live peacefully in a kind of big Garden of Eden, eating fruits and sleeping high up, while underground lives another species, also descending from men, the “Morlocks”, who do not stand the light anymore, living in the dark for too long now. At night, they return to the surface, going back up by the wells, in order to kidnap some Elois that they eat ; these last became livestock unknowingly. In The Time Machine, made into a movie several times, the last of them in 2002 by Simon Wells, the great-grandson of H. G. Wells, time is both a pretext to move the class struggle and warn... and also, in a way, a full character, who fascinates, arbitrates, transcends... The illustrations come to reinforce the time travel and provide a new experience to the reader.
Book Synopsis Goddess in the Machine by : Lora Beth Johnson
Download or read book Goddess in the Machine written by Lora Beth Johnson and published by Penguin. This book was released on 2020-06-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Andra wakes up from a cryogenic sleep 1,000 years later than she was supposed to, forcing her to team up with an exiled prince to navigate an unfamiliar planet in this smart, thrilling sci-fi adventure, perfect for fans of Renegades and Aurora Rising. When Andra wakes up, she's drowning. Not only that, but she's in a hot, dirty cave, it's the year 3102, and everyone keeps calling her Goddess. When Andra went into a cryonic sleep for a trip across the galaxy, she expected to wake up in a hundred years, not a thousand. Worst of all, the rest of the colonists--including her family and friends--are dead. They died centuries ago, and for some reason, their descendants think Andra's a deity. She knows she's nothing special, but she'll play along if it means she can figure out why she was left in stasis and how to get back to Earth. Zhade, the exiled bastard prince of Eerensed, has other plans. Four years ago, the sleeping Goddess's glass coffin disappeared from the palace, and Zhade devoted himself to finding it. Now he's hoping the Goddess will be the key to taking his rightful place on the throne--if he can get her to play her part, that is. Because if his people realize she doesn't actually have the power to save their dying planet, they'll kill her. With a vicious monarch on the throne and a city tearing apart at the seams, Zhade and Andra might never be able to unlock the mystery of her fate, let alone find a way to unseat the king, especially since Zhade hasn't exactly been forthcoming with Andra. And a thousand years from home, is there any way of knowing that Earth is better than the planet she's woken to?
Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Book Synopsis Machine Learning for Text by : Charu C. Aggarwal
Download or read book Machine Learning for Text written by Charu C. Aggarwal and published by Springer Nature. This book was released on 2022-05-04 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
Book Synopsis The Story Machine by : Tom McLaughlin
Download or read book The Story Machine written by Tom McLaughlin and published by Bloomsbury Publishing. This book was released on 2015-01-15 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elliott is a boy who likes to find things and, one day, he stumbles across a machine. At first, he can't work out what the machine is for – it doesn't beep or buzz like all his other machines and it doesn't have an ON/OFF button. Then, quite by accident, Elliott makes the machine work. The machine makes letters! Elliott thinks it must be a story machine but, sadly, Elliott isn't very good at letters and words. How can he make magical stories without them? But, wait, some of the letters look like pictures. Elliott is good at pictures and, as he discovers, pictures make stories. An inspiring, uplifting picture book about the simple joys of a typewriter in a world of hi-tech machines. Perfect for fans of Oliver Jeffers.
